Regression-aware fault localization attempts to rank suspicious statements in a manner such that potential regression inducing suggestions are ranked low. The algorithm extracts the proof of correctness of all the correct executions in the form of Craig Interpolants over the successful execution traces. It, then, labels a program location suspicious if it can find a possible value for the assignment that can allow the hitherto failing execution to produce the expected output. However, any such value that does not satisfy the proof constraints of the passing tests are penalized in terms of their ranking. In this article, we sketch the regression-aware fault localization algorithm and motivate its potential application in debugging mobile applications.